Community detection algorithms for network data: a markovian approach
Calò, Roberto (A.A. 2021/2022) Community detection algorithms for network data: a markovian approach. Tesi di Laurea in Financial and economic networks, Luiss Guido Carli, relatore Matteo Quattropani, pp. 70. [Master's Degree Thesis]
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Abstract/Index
What is a network? Basics of graph theory. Community detection. Communities and partitions. Traditional methods. Spectral clustering. Modularity based methods. The 2-choices dynamics. Dynamics on networks. Overview of the process. Detailed analysis. Simulations. Tests on computer-generated networks. Tests on a real-world network.
References
Bibliografia: pp. 47-48.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Economics and Finance (LM-56) |
| Chair: | Financial and economic networks |
| Thesis Supervisor: | Quattropani, Matteo |
| Thesis Co-Supervisor: | Biagini, Sara |
| Academic Year: | 2021/2022 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 04 Oct 2022 08:54 |
| Last Modified: | 04 Oct 2022 08:54 |
| URI: | https://tesi.luiss.it/id/eprint/33528 |
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